Lead Data Engineer

Candidate Description

A seasoned Data Engineering Leader with more than 12 years of experience, this professional has architected and delivered high-performance data platforms across the financial-services landscape. Excelling in cloud-native solutions on AWS and Azure, they leverage Databricks, Snowflake and lakehouse architectures to drive real-time analytics, regulatory compliance and strategic decision-making. Their broad technological repertoire spans data modelling, governance, migration and visualisation, underpinned by strong stakeholder engagement and team-leadership capabilities.

Their technical acumen is demonstrated through the design of an enterprise-scale AWS data lake at a Financial Institution, integrating diverse data sources via S3, Glue, Athena and event-driven Lambda pipelines. Adept with Azure Data Factory, Synapse Analytics and Databricks, they have led cloud-migration programmes for a Management Firm, cutting ingestion times by 40% and boosting data accessibility by 30%. This professional routinely applies Python, T-SQL, SSIS/SSRS/SSAS and CI/CD practices to engineer resilient, automated data ecosystems, all while adhering to stringent security and compliance mandates.

Combining leadership with hands-on expertise, this professional mentors cross-functional teams, champions Agile delivery and orchestrates end-to-end data-strategy initiatives that reduce cost and risk. Their proven ability to translate complex requirements into scalable architectures makes them an invaluable asset for organisations seeking to unlock data-driven insights, accelerate transformation and maintain a competitive edge in regulated environments.